Tech
8 Benefits of Automated Cross Browser Testing
Cross Browser Testing has become a key asset for industries to stay ahead in the competitive marketplace by preserving their website app functionality across every browser. Presently, researchers have found the best method to facilitate cross browser testing in the quickest way by performing automated cross-browser testing. This testing is faster and more viable as compared to manual testing as it exploits an effective automation tool to construct test scripts or validate the application.
The primary objective of Automation Cross Browser Testing is to implement the test cases in the smallest period possible. Shortly, this testing utilizes the assistance of scripts, tools, and software to execute test cases on numerous levels of application. There is a high struggle in manually testing apps. But when automation testing was launched, the person’s effort in testing website applications has been reduced drastically by more than 70%. The remaining 30% of efforts are needed for choosing an effective automation testing tool, performing the test implementation, and writing the primary testing scripts using those automation scripts. Let’s look at the various advantages of Automation Cross Browser Testing in this article.
List of benefits of Automation Cross Browser Testing:
The most renowned benefits of Automation Cross Browser Testing such as below:
1 Saves time and money
Cross-browser tests often need repetitive and mundane tests that may be time-consuming or boring, if done manually. By automating or identifying every ordinary test that is required to be repeated across all the mixtures of browsers, you may not only secure time but also improve ROI. One of the most significant causes to select automated testing is operating repetitive tests for the single app on various browsers or OS platforms. When it appears for cross-browser testing, a tester is needed to check the app across various combinations.
Automation is your greatest bet when you need to operate tests almost regularly. The main advantage of automation cross-browser testing tools is that it ables you to ship your code very quickly. Hence automated testing is considered as an added benefit when you need to launch your app to the marketplace faster.
Let’s assume your growth team has executed the latest feature for the website applications. This product is being exported to the Quality Assurance team for testing purposes. Additionally, as this functionality is huge, if followed the manual testing, the testers would demand a weekly period to generate the test cases and complete the full test of the implementation process. In fact, if the team strength is thirty to fifty testers, it is going to be a time-consuming method because it would include large person efforts.
When the manual testing is finished, the bug description of the software is then handed over to the growth team. This happens after the waiting time of a week for the developers to see the report of the bug and then fix that bug. Under the same conditions in Automation testing, you may implement the test cases utilizing automation test scripts which may be reused multitudinous times. This absolutely results in securing more time and also makes it more convenient for developers.
2 Provides better test coverage
Web application testing includes tests that are longer and shorter in duration. The tests duration depends upon the functionality or features of the app that you are testing. The length of the test makes a larger influence on the overall process of Cross Browser Testing. Testing may require larger efforts and this longer testing might be very challenging.
But, with Automation Cross Browser Testing you may quickly eliminate the requirement for human effort or resources. For example, if you have to operate a ten-minute long test a certain time a month, then automation testing is a magnificent bet as it would able you to operate tests more often or faster.
3 Improves test accuracy
It is most crucial to maintain superior test accuracy in the testing method. Sometimes experienced testers may make errors during testing the website app manually. However, Automation Cross Browser Testing executes the test more efficiently all time and also records their informative report. This report not only helps to create new tests and deal with complicated features but also helps testers to review the testing process effectively.
The tools utilize for Automation Cross Browser Testing like Selenium, LambdaTest Browser may help to create reports that enable you to trace accuracy or coverage of tested scenarios.
4 Eliminates the requirement for resources
With Automation Cross Browser Testing, efficient resource usage is possible. When your automation test script is ready, you need minimum resources to check the test execution frequently and also in troubleshooting the test script malfunctions. Automation tests result in high work quality as the testing is performed by using the most prominent automated tools that decrease the requirement for manpower, therefore helps to eliminate the requirement for resources.
5 Allows operating multitudinous tests repeatedly
Automation testing stands out from the crowd when it appears to regression testing or operating numerous tests for an app whenever the latest code is introduced in the software. The advantage of automation test cases on an established feature or product is that it enables you to export code very fast, which becomes an extra benefit when you bring your website app to the marketplace.
Let’s take an example that your team launches the latest feature for the website application and export it to the Quality Assurance team. Besides, if the website app is sufficiently large, then the Quality Assurance team would take at least a week to execute or test this feature with the manual test. But in the case of Automation Cross Browser Testing, if you do a similar process, you may cut down a week to a few hours and also make it easier for the team to fix this bug.
This illustration proves that manual tests may be monotonous and tedious for the regression test especially when you have to make few changes regularly. However, Automation Cross Browser Testing is very helpful to do this process very efficiently and quickly.
6 Simultaneous test implementation results in quicker testing
The largest challenge that automation tests pose is scalability. It is the requirement to implement all tests across all the combination of diverse browsers, their dissimilar versions, OS, devices, platforms is what makes it time-consuming and tedious work.
So in this case Automated Cross Browser Testing may easily overcome this challenge as it helps you to quickly run parallel tests across all the combinations of browsers and also results in quick delivery.
7 Able to select the preferred language for automated test scripts
While working on automated tools, you have an option to select the programming language in which you want to create the test. For example- if you utilize Selenium for the automation testing, then test scripts may be generated in Python, Java, C#, Ruby, Perl.
8 Fix bugs instantly
Automation Cross Browser Testing helps to find the bugs when there is another test case that may be implemented in a few hours. As the complete testing is decreased as of automation, you may use the additional time in reporting the bugs to the testers or developers.
With the addition of this, fast bugs fix once more assist the testers to retest bugs and proceed towards imperfection closure.
Other benefits
- Instant feedback
Another advantage of Automation Cross Browser Testing is immediate feedback. With faster test implementation, developers get reports of testing immediately, hence whenever a test failure happens then they would react to it too quickly. Instant feedback is very beneficial when your app is already in the marketplace. Consequently, automation testing has the best user experience, higher team responsiveness, and high consumer satisfaction.
- Higher performance and app quality
Automation Cross Browser Testing would ensure your app’s higher performance and quality as it allows you to operate thousands of test cases at the same time. So you may easily test your application on several devices against multitudinous platforms.
- Raised productivity
Automation tests do not need any personal intervention during running, which means that you may test your app at night time or get the results the next day as these tests may operate repeatedly on their own, QAs and software developers are enabled to spend less time on the testing.
- Cost-saving
Compared to the common myth, Automation Cross Browser Testing is more cost-efficient than manual testing. As it is less expensive in the long term perspective, when you have generated your test scripts, you may reuse them 24/7 with no extra cost.
Final words
Overall, automated cross browser testing is significant or inevitable if you plan to reorganize the workflow and take advantage of modern developmental methodologies. The fact is that the advantages of Automation Testing would only develop in the upcoming days like every year, more efficient tools appear and testing frameworks become more grown-up. Furthermore, it not only gives high performance but also provides marvellous results. Plus, automation testing comes with the goal of delivering abilities faster, reducing testing efforts, or more affordability. It also helps in constructing better higher quality software with no effort.
Based on recommendations, you must try the LambdaTest platform as it helps in performing end-to-end automation testing. Also helps to evaluate how well your website app renders when accessed through a huge range of different browsers.
Tech
How Headless CMS is Powering AI-Generated Content and Automation

The emergence of AI is transforming content generation and management, empowering companies to create tailored, high-quality content in record time and at an unprecedented scale. Yet established CMS solutions may struggle to interface with the latest AI technologies; however, a headless version provides that interface. A headless CMS decouples the back-end content creation process from the front-end display process, meaning it can plug and play with AI resources for generation and automation without the limitations of a pre-established link. This post explores the benefits of a headless CMS for AI-driven content generation, potential workflow automations, and improved digital experiences.
Streamlining AI-Generated Content Integration
One of the greatest advantages of headless CMS options is integration potential through an API-driven architecture with advanced AI content generation options whether that’s GPT-driven apps, content optimization tools, or natural language generation (NLG) tools. Traditional CMS platforms often complicate the ability to appropriately attach such elaborate AI options due to their rigid framework. Headless CMS for faster development also means companies can deploy these integrations with minimal friction, streamlining implementation. Therefore, it’s easier and more effective to plug in these features with a headless CMS solution, enabling companies to create and publish AI content responsibly, effectively, and at scale in a much quicker fashion.
Accelerating Content Production and Publishing
AI content generation exponentially increases production time as companies are better able to fulfill the need for increased, timely, and relevant content. In addition to headless CMS with automatic generation capabilities, articles, product descriptions, social media blurbs, etc. can all be generated and published on the spot through applicable APIs. This means that content writers and editors have less work to do, aside from working with AI-generated adjustments, since content can be published across platforms within minutes. Companies are better able to create more content in less time, achieving better ROI for content, and generated content is accomplished as audiences are engaged quicker.
Enhancing Personalization Through AI-Driven Experiences
Trends in digital marketing that involve audience engagement, conversion and retention levels make personalization vital to the process. For instance, the best headless CMS for growth will lend itself to AI in the future, integration with machine learning (ML) applications, predictive analytics and customer data platforms (CDPs). Ultimately, accessibility and integration allow businesses to provide hyper-personalized, real-time content experiences that change based on users’ immediate needs, activities and contextual information. Thus, great personalization leads to great audience engagement and fulfillment.
Automating Routine Content Management Tasks
The CMS platform, especially the more recent headless CMS options integrates with AI-driven automation to eliminate unnecessary processing and correct workflow in many cases. For example, tagging, metadata, categorization, and content moderation processes use extensive time on an editor’s plate because they are necessary productivity-generating features; yet, their hand-generated efforts fall short as time-consuming, unnecessary tasks that render content inconsistent at best.
Therefore, leveraging AI to fuel such automation reduces the burden of these efforts tagging can be done automatically and recategorized more effectively; hours spent looking for similar articles to give them the same tag and categorization bogged down in the muck of the material can be avoided for more appropriate content alignment and faster time to market. This reduces human error.
AI and machine learning can create metadata on the fly without the need for manual application or assessment if it is applicable; AI categorizes similar content to similar sources and applies tags discriminatively without manual classification efforts. This increases content findability, making it better for SEO and easier for users to find pieces of content across platforms. In addition, AI can re-categorize based on utilization and insights from behavioral attribution over time.
AI-driven automation extends to content moderation as well, for smart algorithms can assess user-generated contributions, detect inappropriate language, flag dangerous submissions, and enforce community and content policies in live situations. Such live oversight guarantees compliance with brand standards, legal requirements, and social platform requirements, reducing the risk of regulatory penalties or brand erosion while simultaneously keeping users safe and secure in a professionally managed space.
In addition, AI-enhanced, headless content management systems can encourage non-linear automation with workflow, where approvals for content creation, versioning, and publication schedules exist without constant human intervention. AI can determine the best times to post, the best sustainability for various content types, and even recommend edits to previously published works based on audience interaction. Thus, AI is fostering greater content team productivity, no longer forcing these professionals to worry about boring administrative tasks but instead encouraging a focus on branding, storytelling, and campaign sophistication.
Furthermore, AI-driven content automation fosters cross-departmental collaboration around content due to natural layers, assuring that content receives a streamlined approach from creation to edits to approval and finally, publication. Features like automated notifications, supervised project management, and up-to-the-minute analytics empower teams to better meld efforts across departments, ensuring that content receives the appropriate publication and consistency across all digital avenues.
Thus, the reality of automated management brought about by AI in a headless CMS changes the game for content operations beyond hands-on engagement, turning what was once a time-consuming undertaking into a seamless, analytics-based atmosphere. Companies can maintain control over quality assurance of content with a decreased likelihood of human error and seamless transitions while allowing the creative and strategic persons at the company to focus on innovation, engaging with target populations, and generating revenue.
Improving Content Quality and Consistency
Quality control isn’t always guaranteed. For companies generating tons of content in various ways and on multiple online channels, missing the mark occasionally isn’t a big deal. But with a headless CMS activated by an AI interface, quality control comes standard. Quality control measures include grammar and style checkers, plagiarism and SEO detectors, and even content compliance can be assured through AI quality control measures. For instance, AI can rapidly compare what’s already out there on the web or make recommendations based on established style guides to ensure pieces are up to par before going live, creating trust with a niche market. Ultimately, AI helps bolster quality control to ensure audiences are engaged and brands appear reputable.
Efficient Multichannel AI Content Distribution
Modern consumers come into contact with brands across multiple touchpoints, including brands’ sites and apps, voice applications, social channels, and voice or IoT devices. A headless CMS enables more accessible multichannel delivery of enterprise AI-generated content through common APIs. Enterprises can automatically alter and publish the same content for any required site or device format, ensuring consistency and functionality whenever a consumer interacts with the enterprise brand. Such multichannel exposure increases awareness and presence, fostering better engagement and improved efforts for consumer retention.
Scalability to Meet Growing Content Demands
With digital audiences increasingly anticipating continual, fresh, and personalized delivery options, the need for content generation is skyrocketing at an unsustainable rate. Yet when it comes to expanding needs for content generation purposes or implementing automated AI solutions, legacy CMS systems with a monolithic design are not the most scalable option. A headless CMS operates with a flexible, cloud-based approach and a microservices design that allows businesses to scale rapidly to meet expanded content generation needs. Therefore, organizations can effortlessly sustain expansive, AI-driven content generation efforts without delay or performance issues that negatively impact UX.
Real-Time Content Optimization with AI Insights
AI-driven analytics ensure astonishing amounts of real-time reporting on who uses what, who engages with specific content, and how effective the digital experience is. Therefore, beyond machine learning to determine patterns, predictive analytics allow the reporting to offer information that might not have been divulged but is found to be beneficial through compiled trends and behaviors. Thus, companies can determine which pieces of content are most effective by which audience segments. Data about clicks, time on page, bounce rates, click-through rates, and even emotional responses render a full picture of what audiences seek, desire, and use or don’t.
The presence of a headless CMS greatly enhances the operation of AI-generated analytics. The complex array of tools necessary for analytics runs smoothly and seamlessly via APIs connecting various third-party technologies. Thus, at any given moment, these real-time findings can help constantly tweak, modify, and optimize content strategies as shifts in audience engagement occur. For instance, if analytics discovers what the most successful piece of content is and why the organization can simply replicate that method instead of guessing. Similarly, it can quickly eliminate failure, ensuring that the content strategy is always in line with what audiences want and need.
Furthermore, the capacity to harness real-time analytics from within headless CMS solutions empowers organizations to customize how they display content as well. As audiences interact with various pieces of branded content across many channels, AI-generated analytics continually gathers and assesses this information so that organizations can provide highly tailored, customized content opportunities that resonate with subsequent audiences. The more a brand can rely on AI to generate appropriate data points, the more consistently content can be modified for the greatest effect. Ultimately, audiences are satisfied, engaged, and converted when they receive the most relevant offerings; this boosts customer loyalty.
Furthermore, real-time modifications to content strategies also enable brands to predict shifts in the marketplace, emerging trends, and evolving customer needs. There’s no more waiting for companies to analyze data in hindsight and then use it for content marketing efforts. Now, they can implement real-time optimization opportunities across the board on every digital platform to beat the competition. Becoming faster, better, and stronger with all digital content efforts is now possible thanks to Headless CMS and access to AI-based analytics.
Robust Security for AI-Powered Content Automation
Successful content automation with AI hinges on security protections for sensitive data, quality of content and quality assurance, and privacy for the ultimate audience. For example, a headless CMS is a more secure option as it automatically distinguishes between where the content lives (the backend) and where it publishes (the frontend). Furthermore, better API security encryption, authentication, access privileges helps protect any private data. Thus, companies adopting a headless CMS for their AI-generated automation can feel secure in their continued compliance requirements and regulatory audits while offering their clients assurance.
Empowering Creative Teams through AI Collaboration
With the implementation of headless CMS solutions, companies can enhance the collaboration between humans and AI as creative teams are better poised to adopt AI-generated content into their workflow. For instance, a headless CMS gives editors and marketers easy access to content generated through an AI engine and allows for editing for brand voice and messaging. Thus, the quicker onboarding and collaboration between human and AI-generated creators open the door for new innovative efforts, better quality of content, and position creative professionals with the appropriate access to inspirational assets generated by AI to maximize efficiency and productivity.
Conclusion
Headless CMS solutions champion companies’ abilities to engage with AI content generation and automation with the flexibility, scalability, and efficiency needed. From plug-and-play AI integration to the automation of mundane tasks, A/B testing for customized experiences, and bolstered security, a headless CMS solution puts any company on the path to success in an automated, AI content-focused digital realm. Companies that adopt Headless CMS technology for AI content generation will keep ahead of their competitors, granting them the ability to offer personalized yet high-quality content that connects with audiences, elevating conversions and ensuring success for the long haul.
Tech
Choosing the Right 100W Solar Panel for Your Energy Needs


Solar energy continues to revolutionize the way people power their homes, vehicles, and outdoor adventures. A 100-watt solar panel is an excellent choice for those looking for a compact, lightweight, and efficient energy solution. Whether you need a panel for an RV, boat, cabin, or backup power, selecting the right type ensures you get the best performance.
Understanding 100-Watt Solar Panels
A BougeRV 100W solar panel is designed to generate electricity by converting sunlight into usable power. These panels are popular due to their portability and versatility, making them ideal for small energy needs. They can be used to charge batteries, power small appliances, and supplement existing solar setups.
Two main types of 100W solar panels are available:
- Flexible solar panels– Designed to bend slightly, making them suitable for curved or uneven surfaces. These are perfect for boats, RVs, and campers.
- Rigid solar panels– Built with a sturdy aluminum frame and glass covering, these panels are highly durable and work well in fixed installations.
Key Benefits of a 100W Solar Panel
1. Portability and Lightweight Design
A 100W solar panel is compact and easy to carry, making it perfect for outdoor activities like camping, hiking, and road trips. The 100W flexible solar panel is particularly useful for installations where weight and space are a concern.
2. Off-Grid Power Independence
With a 100W panel, you can generate electricity anywhere there is sunlight. This makes it a great choice for people living in remote areas or traveling off the grid. It can be used to charge 12V battery systems and run small devices without relying on traditional power sources.
3. Eco-Friendly Energy Solution
Solar panels provide a clean and renewable energy source, reducing reliance on fossil fuels and lowering carbon footprints. A single 100W solar panel can help cut energy costs while contributing to environmental sustainability.
4. Cost-Effective Energy Option
Although the upfront cost of solar panels may seem high, they provide long-term savings by reducing electricity bills. Investing in a 100W solar panel ensures you have a reliable power source with minimal maintenance costs.
Choosing the Best 100W Solar Panel
When selecting a 100W solar panel, consider the following factors:
1. Efficiency and Power Output
Higher efficiency panels generate more power in low-light conditions. The Topcon 16BB 100W solar panel is an example of a high-efficiency panel designed for maximum energy conversion.
2. Flexibility and Installation Needs
If you need a panel for a curved or irregular surface, a flexible option like the 100W flexible solar panel is the best choice. These panels can be mounted on boats, vans, and other non-flat surfaces.
3. Durability and Weather Resistance
Ensure the panel is built to withstand harsh weather conditions, including rain, wind, and snow. Panels with waterproof and corrosion-resistant materials will last longer and perform better over time.
4. Compatibility with Solar Systems
Check whether the panel is compatible with your existing battery system and charge controller. Most 100W panels work well with 12V battery setups, but it’s important to verify before purchasing.
How Much Power Can a 100W Solar Panel Generate?
A 100-watt solar panel can produce around 300 to 600 watt-hours per day, depending on sunlight conditions. This is enough to:
- Charge small electronics like phones, tablets, and laptops
- Power LED lights for extended periods
- Keep a small 12V fridge running
- Support a backup power system for emergencies
To store energy for use at night or on cloudy days, pairing the panel with a battery and charge controller is recommended.
Conclusion
A 100W solar panel is a practical and efficient choice for those looking to harness solar power for small-scale applications. Whether you opt for a flexible panel for curved surfaces or a rigid panel for fixed installations, investing in a high-quality solar panel ensures reliable energy production for years to come.
By selecting the right panel and optimizing its use, you can enjoy clean, sustainable energy while reducing dependence on traditional power sources.
Tech
Unlock the Future: Master Artificial Intelligence with Great Learning’s Comprehensive AI Course


It is vital that workers learn these skills as AI, generative AI and machine learning continue to advance.
The rise of artificial-intelligence-based technologies (AI) is unquestionable today, as is their potential to disrupt various types of work, including language processing, pattern recognition, problem solving, and even decisions.
ChatGPT, for example, represents a completely new field of technology. This includes generative AI, a subset artificial intelligence that is focused on creating original music, images, and text by learning from previous examples. Generative AI, instead of copying or recognising predefined patterns based upon rules, uses complex algorithms based often on neural networks to create original content.
These developments have been made possible by the huge advances in machine learning, a branch of AI which involves teaching computers how to learn using data. Data collection, model-training, learning from data, examining model output, and adjusting parameters are all part of this process. The development of neural networks, a type of computational training model inspired by the brain, has been made possible through machine learning. These models are built from interconnected virtual “neurons” that are organized into “layers” to process data. This system allows a model to be taught how to balance different parameters in order to recognise patterns and learn them, as well as make predictions and complete tasks. Deep learning is another name for this subset of machine-learning.
Deep learning focuses on training artificial neural networks with multiple layers to represent complex data. The term ‘deep’ refers to the depth of the neural network, meaning the many layers of inputs or outputs. This system has been highly successful in solving tasks like image recognition (recognising images/faces/patterns), natural language processing (ChatGPT-like models which can understand and generate human-like responses, most often used to power chatbots) and speech recognition (used for voice assistants or transcribing speech to text) among others.
It is important that we start to learn about these new technologies, given the potential disruption AI will bring to our world. Many people think that you have to be a software or computer engineer to grasp these concepts. However, anyone can do so regardless of their educational background.
Here are four online certificate programmes that can be accessed for free by leading industry players like Microsoft, Google and Infosys. They can all be accessed for free online
GUVI AI for India 2.0 program
The Government of India launched AI for India 2.0 – a free online course that focuses on AI. Skill India has developed the course in collaboration with GUVI. The program has also been accredited by IIT Madras and the National Council for Vocational Education and Training.
This is a virtual one-day event for the development of tech skills in collaboration with the Ministry of Skill Development & Entrepreneurship. It will be held on 15th August. As part of their preparation, participants will have free access to LEVI’s premium course from July 15th.
GUVI is a personalized learning company founded by IIT Madras, IIM Ahmedabad. It offers online learning and upskilling opportunities for learners. GUVI offers these courses in a variety of regional languages.
Infosys AI certification courses
Infosys launched a free AI Certification Training Program to help users develop new skills. The Infosys Springboard platform offers a free AI course.
The platform offers several other certifications courses on AI-related topics. These courses are designed to be introductory and cover AI, generative AI and deep learning. The platform offers master classes in AI and generative AI.
Infosys Springboard, a virtual learning platform, offers curriculum-rich experiences. Candidates can access corporate-grade training online, from any device. The platform is a part of Infosys CSR commitment, which aims to empower 10,000,000+ people with digital skills by 2025. It caters to all learners, from class 6 up to lifelong learners.
Microsoft’s course on generative AI
Microsoft has created a new AI skills programme to assist people in learning this subject. This initiative is part Microsoft’s Skills for Jobs program, which includes free coursework created with LinkedIn.
The new course teaches AI frameworks, introductory concepts and provides a certificate of completion. Microsoft believes AI will disrupt the workplace and that this course helps people to improve their AI skills..
Google Cloud AI courses
AI and machine-learning careers are in high demand at the moment. This is especially true when it comes to Google Cloud. The potential applications of generative AI are vast, including in the fields of information technology and branding. Machine learning is a powerful tool that can be used to help workers understand data, create models, and create interactive functions. These skills will become essential in the future for data scientists, machine learning engineers, and data engineers.
Great Learning’s Digital Marketing Course
Great Learning offers an in-depth AI course designed for both beginners and professionals who seek to master artificial intelligence. This course covers essential AI concepts like machine learning, deep learning and natural language processing as well as more advanced topics like computer vision and AI ethics. Taught by industry professionals, this course features video lectures, hands-on projects, and real-world case studies to hone practical skills. Convenient and flexible to fit into busy schedules, it is accessible even for working professionals. One can also enroll in a power bi course to complement this course. Participants who successfully complete this course earn an AI certification that can significantly advance their careers – along with additional career support and networking opportunities – offering a complete pathway towards AI success.
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